Abstract
The acquisition of localized molecular spectra with mass spectrometry imaging (MSI) has a great, but as yet not fully realized, potential for biomedical diagnostics and research. The methodology generates a series of mass spectra from discrete sample locations, which is often analyzed by visually interpreting specifically selected images of individual masses. We developed an intuitive color-coding scheme based on hyperspectral imaging methods to generate a single overview image of this complex data set. The image color-coding is based on spectral characteristics, such that pixels with similar molecular profiles are displayed with similar colors. This visualization strategy was applied to results of principal component analysis, self-organizing maps and t-distributed stochastic neighbor embedding. Our approach for MSI data analysis, combining automated data processing, modeling and display, is user-friendly and allows both the spatial and molecular information to be visualized intuitively and effectively.
Original language | English |
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Pages (from-to) | 1415-1423 |
Number of pages | 9 |
Journal | Analytical Chemistry |
Volume | 85 |
Issue number | 3 |
DOIs | |
Publication status | Published - 5 Feb 2013 |
Bibliographical note
Copyright 2013 Elsevier B.V., All rights reserved.Keywords
- Animals
- Brain
- Humans
- Liver
- Mass Spectrometry
- Rats
- Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization